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Author:   Ton J. Cleophas ,  Aeilko H. Zwinderman
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2nd ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   6.623kg
ISBN:  

9783319271033

ISBN 10:   3319271032
Pages:   334
Publication Date:   29 January 2016
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Preface.-I Continuous Outcome Data.- Data Spread, Standard Deviations.- Data Summaries: Histograms, Wide and Narrow Gaussian Curves.- Null-Hypothesis Testing with Graphs.- Null-Hypothesis Testing with the T-table.- One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon.- Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test).- Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney).- Linear Regression (Regression Coefficients, Correlation Coefficients, and their   Standard Errors).- Kendall-Tau Regression for Ordinal Data.- Paired Continuous Data, Analysis with Help of Correlation Coefficients.- Power Equations.- Sample Size Calculations.- Confidence Intervals.- Equivalence Testing instead of Null-Hypothesis Testing.- Noninferiority Testing instead of Null-Hypothesis Testing.- Superiority Testing instead of Null-Hypothesis Testing.- Missing Data Imputation.- Bonferroni  Adjustments.- Unpaired Analysis of Variance (ANOVA).- Paired Analysis of Variance (ANOVA).-Variability Analysis for One or Two Samples.- 22 Variability Analysis for Three or More Samples.- Confounding.- Propensity Score and Propensity Score Matching for Multiple Confounders.- Interaction.- Accuracy and Reliability Assessments.- Robust Tests for Imperfect Data.- Non-linear Modeling on a Pocket Calculator.- Fuzzy Modeling for Imprecise and Incomplete Data.- Bhattacharya Modeling for Unmasking Hidden Gaussian Curves.- Item Response Modeling instead of Classical Linear Analysis of Questionnaires.- Meta-Analysis.- Goodness of Fit Tests for Identifying Nonnormal Data.- Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis).- II Binary Outcome Data.-Data Spread: Standard Deviation, One Sample Z- Test, One Sample Binomial Test.- Z-Tests.- Phi Tests for Nominal Data.- 38 Chi-Square Tests.- Fisher Exact Tests Convenient for Small Samples.- Confounding.- Interaction.- Chi-square Tests for Large Cross-Tabs.- Logarithmic Transformations, a Great Help to Statistical Analyses .- Odds Ratios, a Short-Cut for Analyzing Cross-Tabs.- Log odds, the Basis of Logistic Regression.- Log Likelihood Ratio Tests for the Best Precision.- Hierarchical Loglinear Models for Higher Order Cross-Tabs.- McNemar Tests for Paired Cross-Tabs.- McNemar Odds Ratios.- Power Equations.- Sample Size Calculations.- Accuracy Assessments.- Reliability Assessments.- Unmasking Fudged Data.- Markov Modeling for Predictions outside the Range of Observations.-  Binary Partitioning with CART (Classification and Regression Tree) Methods.- Meta-Analysis.- Physicians' Daily Life and the Scientific Method.- Incident Analysis and the Scientific Method.- Cochran Tests for Large Paired Cross-Tabs.-Index.         

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Author Information

The authors are well-qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015), and Professor Cleophas is past-president of the American College of Angiology (2000-2002). From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors have been working and publishing together for 17 years, and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics. The authors as professors and teachers in statistics at universities in The Netherlands and France for the most part of their lives, are convinced that the scientific method of statistical reasoning and hypothesis testing is little used by physicians and other health workers, and they hope that the current productionwill help them find the appropriate ways for answering their scientific questions.    Three textbooks complementary to the current production and written by the same authors are Statistics applied to clinical studies 5th edition, 2012, Machine learning in medicine a complete overview, 2015, SPSS for starters and 2nd levelers, 2015, all of them edited by Springer Heidelberg Germany.

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